Model change

app.py

@@ -2,16 +2,16 @@ import gradio as gr
 from transformers import pipeline, AutoTokenizer, AutoModelForCausalLM
 
 # Load the model and tokenizer using Hugging Face
-#model_name = "microsoft/Phi-3-mini-4k-instruct"
+model_name = "microsoft/Phi-3-mini-4k-instruct"
 
 
 # Explicitly load the tokenizer and model
-#tokenizer = AutoTokenizer.from_pretrained(model_name, trust_remote_code=True)
-#model = AutoModelForCausalLM.from_pretrained(model_name, trust_remote_code=True)
+tokenizer = AutoTokenizer.from_pretrained(model_name, trust_remote_code=True)
+model = AutoModelForCausalLM.from_pretrained(model_name, trust_remote_code=True)
 
 # Create the pipeline
-chatbot = pipeline("text-generation", model="KingNish/Qwen2.5-0.5b-Test-ft", trust_remote_code=True)
-#chatbot = pipeline("text-generation", model=model, tokenizer=tokenizer, framework="pt")
+#chatbot = pipeline("text-generation", model="KingNish/Qwen2.5-0.5b-Test-ft", trust_remote_code=True)
+chatbot = pipeline("text-generation", model=model, tokenizer=tokenizer, framework="pt")
 
 def respond(
     message,